任何人都能構建 Agent,但需要一個平台來運行它們:Vercel 談 AI Agent 的部署挑戰
Original: Anyone can build agents, but it takes a platform to run them
As the reasoning capabilities of Large Language Models (LLMs) improve, building a simple AI Agent has become easier than ever before…
Vercel 探討 AI Agent 從開發到生產環境的關鍵痛點。雖然現今開發 Agent 難度降低,但運行時面臨 Serverless 超時、複雜狀態管理、即時串流(Streaming)以及工具調用監控等挑戰。Vercel 強調,唯有透過完善的平台基礎設施(如 Vercel AI SDK 與其託管服務),才能真正釋放 Agent 的商業價值。
As the reasoning capabilities of Large Language Models (LLMs) improve, building a simple AI Agent has become easier than ever before. Developers can combine a few lines of code with prompts and tool calling to get an agent executing tasks. However, Vercel points out in its latest article that **"building an Agent" and "running an Agent reliably in a production environment" are two entirely different things**.
Free shows the 3-line summary; Pro unlocks the full deep summary (~300 words) so you never have to click through.
See Pro plans →Want the original English / full article?
Read on Vercel Changelog →Summaries are AI-generated; the original article is authoritative.